Forward Deployed Engineer (Google Cloud AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Forward Deployed Engineer (Google Cloud AI): Developing and deploying production-grade agentic AI solutions and RAG pipelines for enterprise customers with an accent on Vertex AI and Gemini. Focus on architecting multi-agent systems, optimizing evaluation pipelines, and integrating AI into complex enterprise infrastructures.
Location: Must be based in the province of Québec, Canada. Remote with up to 50% travel to customer sites.
Company
Experience innovation company partnering with global brands to drive digital transformation through data, AI, and creativity.
What you will do
- Embed within customer engineering teams to translate ambiguous business problems into AI architectures and delivery plans.
- Architect and ship production-grade agentic AI solutions on GCP, including multi-agent systems, MCP servers, and safety guardrails.
- Design and implement RAG pipelines, focusing on chunking strategy, vector databases, and embedding optimization.
- Build the connective tissue between Google AI products and customer infrastructure, including APIs and legacy data silos.
- Implement advanced agent patterns like ReAct and self-reflection using frameworks such as ADK or LangGraph.
- Develop high-performance evaluation pipelines and observability frameworks to monitor accuracy, latency, and cost.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.
- 5+ years of software development experience using Python or TypeScript.
- Hands-on experience deploying AI systems on GCP (Vertex AI, Gemini models, BigQuery, Cloud Run, Pub/Sub).
- Demonstrated experience building agentic solutions and RAG architectures in production.
- Experience deploying cloud resources via Terraform or similar IaC tools.
- Must be based in the province of Québec.
Nice to have
- Master’s or PhD in AI, Computer Science, or Machine Learning.
- Experience with LangGraph, CrewAI, or designing Model Context Protocol (MCP) servers.
- Knowledge of LLM-native operational metrics (tokens/sec, cost-per-request).
- Google Cloud Professional certifications (ML Engineer, Cloud Architect, or Data Engineer).
- Familiarity with full-stack development and REST/GraphQL API design.
Culture & Benefits
- Comprehensive insurance plan (Gold, Silver, Bronze) including short- and long-term disability.
- Virtual healthcare and complete mental health support program via Dialogue (Sun Life).
- $500 Personal Spending Account for healthcare, gym, or RRSP contributions.
- Retirement plan with 100% RRSP matching up to 4% through a DPSP.
- Flexible vacation policy and paid closure during winter holidays.
- $30/month reimbursement for personal technology.
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